Výsledky vyhledávání - "Arvind, Rajendran"

Optimization of pressure‐vacuum swing adsorption processes for nitrogen rejection from natural gas streams using a nitrogen selective metal organic framework

Autor: Nicholas Stiles Wilkins, Kasturi Nagesh Pai, Arvind Rajendran

Publikováno v: The Canadian Journal of Chemical Engineering. 100:2374-2393

A vanadium(II/III) metal-organic organic framework (MOF), V2Cl2.8(btdd), that is selective to CH4 over N2 was recently discovered. Process optimizations were performed to determine the performance of this MOF to reach the pipeline transport purity of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0625476dc2065ec4bec7b59f5228194c
https://doi.org/10.1002/cjce.24469

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Can a computer 'learn' non-linear chromatography?: Experimental validation of physics-based deep neural networks for the simulation of chromatographic processes

Autor: Sai Gokul Subraveti, Zukui Li, Vinay Prasad, Arvind Rajendran

This article presents the capabilities of machine learning in addressing the challenges related to the accurate description of adsorption equilibria in the design of chromatographic processes. Our previously developed physics-based artificial neural

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c778a7eae96a25ea0e5c2f5563acb38
https://doi.org/10.26434/chemrxiv-2022-17k83-v2

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Post-Combustion CO2 capture by vacuum swing adsorption using a hydrophobic metal-organic framework (MOF), CALF-20: Multi-objective optimization and experimental validation

Autor: Tai Nguyen, George Shimizu, Arvind Rajendran

In this paper, the ability of CALF-20, a hydrophobic metal-organic framework (MOF), to capture CO2 from dry flue gas (15/85 mol% of CO2/N2) using two different adsorption configurations, basic four-step vacuum swing adsorption (VSA), and four-step wi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f4dcc071ccab498c2e300567472f7ada
https://doi.org/10.26434/chemrxiv-2022-c7hp1

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Breakthrough dynamics of nitrogen, oxygen, and argon on silver exchanged titanosilicates (Ag-ETS-10)

Autor: Steven M. Kuznicki, Rafael Teruo Maruyama, Libardo Estupiñan Perez, Arvind Rajendran, Sayed Alireza Hosseinzadeh Hejazi

Publikováno v: Adsorption. 27:191-203

Breakthrough curves of N2, O2, and Ar on Silver exchanged titanosilicates (Ag-ETS-10) extrudates and granules were measured using a laboratory scale dynamic column breakthrough (DCB) apparatus. In order to investigate the dynamics of the mass transfe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c38b48e7be83c512651a81e83eb1079c
https://doi.org/10.1007/s10450-020-00293-6

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Dynamic column breakthrough experiments for measurement of adsorption equilibrium and kinetics

Autor: Nicholas Stiles Wilkins, Shamsuzzaman Farooq, Arvind Rajendran

Publikováno v: Adsorption. 27:397-422

This paper provides a set of comprehensive guidelines for the use of dynamic column breakthrough experiments to measure single and multi-component equilibria and kinetics. Recommendations are made for the design of the experimental rig, experimental

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dcd16a158b6ef356eb874b60eab3e721
https://doi.org/10.1007/s10450-020-00269-6

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Generalized, Adsorbent-Agnostic, Artificial Neural Network Framework for Rapid Simulation, Optimization, and Adsorbent Screening of Adsorption Processes

Autor: Arvind Rajendran, Kasturi Nagesh Pai, Vinay Prasad

Publikováno v: Industrial & Engineering Chemistry Research. 59:16730-16740

Adsorption-based processes, such as pressure swing adsorption, because of their cyclic nature and the presence of multiple design variables, are challenging to simulate and optimize. Here, we intro...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3b08383de0cd36204aaa990f3547d09c
https://doi.org/10.1021/acs.iecr.0c02339

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Prediction of MOF Performance in Vacuum Swing Adsorption Systems for Postcombustion CO2 Capture Based on Integrated Molecular Simulations, Process Optimizations, and Machine Learning Models

Autor: Sean P. Collins, Mykhaylo Krykunov, Tom K. Woo, Sai Gokul Subraveti, Kasturi Nagesh Pai, Thomas Burns, Arvind Rajendran

Publikováno v: Environmental Science & Technology. 54:4536-4544

Postcombustion CO2 capture and storage (CCS) is a key technological approach to reducing greenhouse gas emission while we transition to carbon-free energy production. However, current solvent-based CO2 capture processes are considered too energetical

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a3ff58c5931ade1db58944672a336d76
https://doi.org/10.1021/acs.est.9b07407

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Measurement of competitive $$\text {CO}_{2}$$ and $$\text {H}_{2}\text {O}$$ adsorption on zeolite 13X for post-combustion $$\text {CO}_{2}$$ capture

Autor: Arvind Rajendran, Nicholas Stiles Wilkins, James A. Sawada

Publikováno v: Adsorption. 26:765-779

The adsorption isotherms of water on Zeochem zeolite 13X were measured from 22 to 100 $$^{\circ }\text {C}$$ and 0 to $$2.1\times 10^{-2}$$ bar using volumetry and gravimetry. The equilibrium data was fit to a dual-site Langmuir isotherm. A series of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::729275c9f098a008e258fa6833ede138
https://doi.org/10.1007/s10450-020-00199-3

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